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Live In Image Annotation Jobs in New York (NOW HIRING)

ML Engineer

New York, NY · On-site +1

$170K - $185K/yr

... our annotation, model training, and data pipelines, ensuring that every image we process makes ... You'll also pitch in on custom Field Engineering implementations when needed and contribute to ...

... in improving the communities where our employees, customers, and audiences live and work. We have a ... We are seeking an ML Annotation Tools Developer with experience building the infrastructure and ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... What We Look For In a High School Reading Tutor * Advanced Subject Mastery: Deep knowledge of ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... What We Look For In a High School Reading Tutor * Advanced Subject Mastery: Deep knowledge of ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... What We Look For In a High School Reading Tutor * Advanced Subject Mastery: Deep knowledge of ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... What We Look For In a High School Reading Tutor * Advanced Subject Mastery: Deep knowledge of ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... What We Look For In a High School Reading Tutor * Advanced Subject Mastery: Deep knowledge of ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... What We Look For In a High School Reading Tutor * Advanced Subject Mastery: Deep knowledge of ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... What We Look For In a High School Reading Tutor * Advanced Subject Mastery: Deep knowledge of ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... What We Look For In a High School Reading Tutor * Advanced Subject Mastery: Deep knowledge of ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... What We Look For In a High School Reading Tutor * Advanced Subject Mastery: Deep knowledge of ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... What We Look For In a High School Reading Tutor * Advanced Subject Mastery: Deep knowledge of ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... What We Look For In a High School Reading Tutor * Advanced Subject Mastery: Deep knowledge of ...

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Live In Image Annotation information

What are the key skills and qualifications needed to thrive as a Live In Image Annotation Specialist, and why are they important?

To thrive as a Live In Image Annotation Specialist, you need strong attention to detail, proficiency in visual analysis, and a basic understanding of data labeling processes, typically supported by a high school diploma or equivalent. Familiarity with annotation tools like Labelbox, CVAT, or Supervisely, and sometimes basic coding knowledge, is often required. Excellent communication, time management, and adaptability are key soft skills for collaborating and meeting project deadlines. These competencies ensure accurate, high-quality data labeling, which is crucial for training reliable machine learning models.

What are some of the common challenges faced by Live In Image Annotation professionals, and how can they be addressed?

Live In Image Annotation professionals often encounter challenges such as maintaining high accuracy while working with large volumes of data, meeting tight deadlines, and handling ambiguous images that require careful judgment. To address these challenges, it's important to stay organized, regularly communicate with team members and project managers, and utilize annotation tools efficiently. Ongoing training and feedback can also help improve both speed and precision, ensuring the quality of annotated data meets industry standards.

What is a Live In Image Annotation job?

A Live In Image Annotation job involves residing at a particular location or facility and performing the task of labeling or tagging objects, features, or data within digital images. This work is usually part of larger projects in fields like artificial intelligence, machine learning, or computer vision, where accurately annotated images are crucial for training algorithms. The job may require familiarity with specialized software tools and a keen attention to detail. Annotators play a critical role in helping computers 'see' and understand images by providing clear and consistent labels. Often, these positions are found in research centers, data collection facilities, or companies specializing in AI development.

What is the difference between Live In Image Annotation vs Image Labeling Specialist?

AspectLive In Image AnnotationImage Labeling Specialist
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentOn-site or remote, often in a dedicated workspaceRemote or on-site, flexible environment
Industry UsageAI training, autonomous vehicles, surveillanceData annotation for machine learning, AI models
Job FocusReal-time annotation, often involving live video or imagesBatch annotation, static images

Live In Image Annotation involves real-time, often on-site annotation of images or videos, suitable for applications like autonomous driving or surveillance. In contrast, Image Labeling Specialists typically perform batch annotation of static images for training AI models, often remotely. Both roles require attention to detail and basic technical skills but differ mainly in real-time versus batch work and work environment.

What are the most commonly searched types of Image Annotation jobs in New York? The most popular types of Image Annotation jobs in New York are:
What are popular job titles related to Live In Image Annotation jobs in New York? For Live In Image Annotation jobs in New York, the most frequently searched job titles are:
What job categories do people searching Live In Image Annotation jobs in New York look for? The top searched job categories for Live In Image Annotation jobs in New York are:
What cities in New York are hiring for Live In Image Annotation jobs? Cities in New York with the most Live In Image Annotation job openings:

ML Engineer

Visia

New York, NY • On-site, Remote

$170K - $185K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago


Job description

Machine Learning Engineer @ Visia
New York, NY (Hybrid/In-person)
About Us
Visia is the first multimodal AI platform custom built for heavy industry. Visia's full-stack physical intelligence platform includes robust sensing systems across imaging modes (cameras, X-rays, cargo X-rays, LiDAR), foundation vision-language models that convert raw sensor data into structured operational intelligence, and software-driven Field Engineering that drives real transformation on-site at some of the world's largest industrial operations.
We deploy our hardware systems powered by our model flywheel across recycling facilities, steel mills, aluminum smelters, ports, and waste-to-energy plants, processing over 1 billion data points a year. When customers adopt Visia they aren't buying a point solution - they are parting with a platform business that turns unstructured optical data into real-time, actionable intelligence for their operations.
What We're Looking For
We're looking for a Platform Engineer to own and accelerate Visia's data flywheel - the engine that makes our fine-tuned models smarter with every deployment. You'll primarily build the tooling and automation that powers our annotation, model training, and data pipelines, ensuring that every image we process makes Solstice better at understanding the physical world.
This is a high-leverage role. The systems you build directly determine how fast we can onboard new customers, new sensor modalities, and new industry verticals. You'll also pitch in on custom Field Engineering implementations when needed and contribute to internal agentic tooling that helps the team move faster.
Responsibilities
  • Data Flywheel & Model Tooling
    • Automate and improve our instance-segmentation and vision-language model annotation tooling, creating smooth, efficient workflows for our annotators and model managers
    • Build and maintain the pipelines that move data from deployed sensors → annotation → model training → production deployment
    • Develop tooling for model performance monitoring, error analysis, and continuous improvement across customer sites
    • Work closely with ML engineers to accelerate the feedback loop between deployed models and training infrastructure
  • Field Engineering Support
    • Contribute to custom Visia implementations for enterprise customers - building integrations with scale systems, ERPs, PLCs, and customer-specific reporting
    • Support Forward Deployed Engineering (FDE) engagements by building reusable tooling and templates that make each deployment faster than the last
    • Help translate customer operational needs into technical specifications and working softwareInternal
  • Tooling & Automation
    • Build agentic tooling to accelerate GTM workflows - automated sales deck generation, customer research, and outreach
    • Collaborate with the CEO on automating operational workflows
    • Contribute to Visia's overall product roadmap and help shape the future of physical intelligence in heavy industry
Who You Are
  • You have strong programming skills in one or more commonly used programming languages (we use Python, TypeScript, and Go)
  • You move fast, ship iteratively, and care about building things that actually work in production
  • You're comfortable working with at least some of the following and eager to learn the rest:
    • Python backend development (Flask, FastAPI)
    • Frontend development (React / React Native)
    • Cloud computing (GCP, AWS, or Azure)
    • CI/CD, IaC, and containerization (Docker, Terraform, GitHub Actions)
    • Databases (SQL, dbt, Postgres, ClickHouse)
  • Bonus: experience with computer vision pipelines, annotation tooling, or ML infrastructure
  • You have proof of your engineering ability through GitHub projects or work experience
What You Might Work On
  • Building automated annotation pipelines that use SAM and vision-language models to pre-label datasets, cutting model iteration cycles by 5-10x
  • Creating model performance dashboards that surface accuracy regressions across customer sites before they become customer issues
  • Integrating Visia with a customer's scale system to automate compliance reporting they currently do by hand
  • Building an internal agent that generates customized sales decks from customer research and Visia's deployment playbooks
Compensation & Benefits
  • Compensation: $140,000-$155,000/yr + ~$30,000/yr in equity ($170,000-$185,000/yr)
  • Health, Vision, Dental + 401(k)
  • Flexible + Unlimited PTO